chengzhanghu / datahub

A Generalized Metadata Search & Discovery Tool

DataHub: A Metadata Platform for the Modern Data Stack

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Quickstart | Documentation | Features | Roadmap | Adoption | Demo | Town Hall

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📣 Next DataHub town hall meeting on Sep 24th, 9am-10am PDT (convert to your local time)

• Topic Proposals: submit here
• Signup to get a calendar invite: here
• Town-hall Zoom link: zoom.datahubproject.io
• Meeting details & past recordings

✨ Latest Update:

• Monthly project update: July 2021 Edition.
• Unleashing Excellent DataOps with LinkedIn DataHub: DataOps Unleashed Talk.
• Latest blog post DataHub: Popular Metadata Architectures Explained @ LinkedIn Engineering Blog.
• We're on Slack now! Ask questions and keep up with the latest announcements.

Introduction

DataHub is an open-source metadata platform for the modern data stack. Read about the architectures of different metadata systems and why DataHub excels here. Also read our LinkedIn Engineering blog post, check out our Strata presentation and watch our Crunch Conference Talk. You should also visit DataHub Architecture to get a better understanding of how DataHub is implemented and DataHub Onboarding Guide to understand how to extend DataHub for your own use cases.

Quickstart

Please follow the DataHub Quickstart Guide to get a copy of DataHub up & running locally using Docker. As the guide assumes some basic knowledge of Docker, we'd recommend you to go through the "Hello World" example of A Docker Tutorial for Beginners if Docker is completely foreign to you.

Demo and Screenshots

There's a hosted demo environment where you can play around with DataHub before installing.

Source Code and Repositories

• linkedin/datahub: This repository contains the complete source code for both DataHub's frontend & backend services.
• linkedin/datahub-gma: This repository contains the source code for DataHub's metadata infrastructure libraries (Generalized Metadata Architecture, or GMA).

Documentation

We have documentation available at https://datahubproject.io/docs/.

Releases

See Releases page for more details. We follow the SemVer Specification when versioning the releases and adopt the Keep a Changelog convention for the changelog format.

Features & Roadmap

Check out DataHub's Features & Roadmap.

Contributing

We welcome contributions from the community. Please refer to our Contributing Guidelines for more details. We also have a contrib directory for incubating experimental features.

Community

Join our slack workspace for discussions and important announcements. You can also find out more about our upcoming town hall meetings and view past recordings.

Adoption

Here are the companies that have officially adopted DataHub. Please feel free to add yours to the list if we missed it.

• DefinedCrowd
• Expedia Group
• Experius
• Geotab
• Grofers
• Klarna
• LinkedIn
• Saxo Bank
• Shanghai HuaRui Bank
• ThoughtWorks
• TypeForm
• Viasat
• Wolt

Select Articles & Talks

• DataHub: A Generalized Metadata Search & Discovery Tool
• DataHub: Popular Metadata Architectures Explained
• Open sourcing DataHub: LinkedIn’s metadata search and discovery platform
• Driving DataOps Culture with LinkedIn DataHub @ DataOps Unleashed 2021
• DataHub: Powering LinkedIn's Metadata @ Budapest Data Forum 2020
• Taming the Data Beast Using DataHub @ Data Engineering Melbourne Meetup November 2020
• Metadata Management And Integration At LinkedIn With DataHub @ Data Engineering Podcast
• The evolution of metadata: LinkedIn’s story @ Strata Data Conference 2019
• Journey of metadata at LinkedIn @ Crunch Data Conference 2019
• DataHub Journey with Expedia Group
• Saxo Bank's Data Workbench
• Data Discoverability at SpotHero
• Data Catalogue — Knowing your data
• LinkedIn DataHub Application Architecture Quick Understanding
• A Dive Into Metadata Hubs
• 25 Hot New Data Tools and What They DON’T Do
• Emerging Architectures for Modern Data Infrastructure

See the full list here.

License

Apache License 2.0.